MCP server

StackResolve Official

dev.stackresolve/stackresolve

Checked 25 Oct 2026, 20:29 UTC · Connected to it and listed its tools

Find, compare, and audit software for AI agents. Scored registry of tools and MCP servers.

Website Source

At a glance

Type

MCP server

Publisher

stackresolve.dev (verified by the MCP Registry)

Status

Working at last check

Tools

15

Token cost

About 1,502 tokens per request

Sets up in

Claude Code, Claude Desktop, Codex, Gemini CLI, Cursor, VS Code, Antigravity, ChatGPT, OpenAI API, Grok

Last checked

25 Oct 2026, 20:29 UTC

Connect it to your agent

Add to CursorAdd to VS CodeVS Code Insiders

Opens the app, which shows the server and asks you to confirm. For other apps, copy the setup below.

Claude Code

claude mcp add --transport http stackresolve https://mcp.stackresolve.dev/mcp

Claude Desktop

Settings → Connectors → Add custom connector, and paste the URL.

Codex (config.toml)

[mcp_servers.stackresolve]
url = "https://mcp.stackresolve.dev/mcp"

Gemini CLI

{"mcpServers":{"stackresolve":{"httpUrl":"https://mcp.stackresolve.dev/mcp"}}}

Cursor

{"mcpServers":{"stackresolve":{"url":"https://mcp.stackresolve.dev/mcp"}}}

VS Code

{"servers":{"stackresolve":{"type":"http","url":"https://mcp.stackresolve.dev/mcp"}}}

Antigravity

agy mcp add stackresolve https://mcp.stackresolve.dev/mcp

ChatGPT

Settings → Apps & Connectors → Advanced settings: turn on Developer mode, then Create a connector and paste the URL. Which plans can do this varies.

OpenAI API (Responses tools)

{"type":"mcp","server_label":"stackresolve","server_url":"https://mcp.stackresolve.dev/mcp","require_approval":"always"}

Grok (xAI API tools)

{"type":"mcp","server_label":"stackresolve","server_url":"https://mcp.stackresolve.dev/mcp"}

Tools

• audit ~71 tokens
  Audit a product for agent-readiness.
• compare_companies ~118 tokens
  Structured side-by-side of companies across fields (description, products, categories, funding, technology).
• compare_products ~78 tokens
  Compare products by slug.
• find_competitors ~103 tokens
  Real competitors and alternatives for a company, extracted from live research and returned as structured rows.
• find_tools_for_task ~78 tokens
  Rank the software an agent should use for a task.
• generate_agent_interfaces ~122 tokens
  Make a product agent-native: from its OpenAPI, generate an MCP server (one tool per operation), a CLI, an llms.txt, and Claude Code/Codex/Cursor install snippets.
• get_company ~70 tokens
  Structured company record.
• get_pricing ~68 tokens
  Normalized pricing.
• get_profile ~80 tokens
  Full registry profile (AgentReady Score, capabilities, sources).
• get_usage ~52 tokens
  Your usage this billing period (read-only).
• how_to ~155 tokens
  BEFORE building something, call this: returns the CURRENT (date-stamped), cited, tool-aware way to do a task, so you build from today's best practice instead of training-cutoff memory. Composes live web research + the tool resolver + one synthesis pass into { approach, recommendedTools, steps, gotch
• list_registry ~87 tokens
  List the registry, highest AgentReady Score first.
• research_company ~83 tokens
  Grounded, cited answer about a company.
• resolve ~214 tokens
  Best tools for a natural-language task: resolves the task to the capabilities it needs, returns products that expose them ranked by fit and AgentReady score, each with a reason. Optional requirements (api/mcp/self_serve/openapi/cli) filter candidates. Set discover:true to search the web and audit ne
• search_tools ~123 tokens
  Search the registry by query + requirements (api/mcp/self_serve/openapi/cli).

Browse

• Claude tools
• OpenAPI tools
• APIs and testing

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